Biblio
Export 101 results:
Author Title [ Type] Year Filters: First Letter Of Last Name is D [Clear All Filters]
Learning to Cluster.
learning_to_cluster.pdf (1.82 MB)
(2018).
(2020).
(2020). Beyond ImageNet: Deep Learning in Industrial Practice.
Applied Data Science. 205-232.
(2019). Extracting egomotion from optic flow: limits of accuracy and neural matched filters.
(Zanker, J. M., & Zeil J., Ed.).{Motion Vision: Computational, Neural and Ecological Constraints}. 143-168. Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
(2001). Stochastic modelling of ion diffusion in complex systems.
Anomalous Diffusion From Basics to Applications. 175–185.
(1999). Stochastic modelling of ion diffusion in complex systems.
Anomalous Diffusion From Basics to Applications. 175–185.
(1999).
(2023).
(2023).
3d hand gesture recognition based on sensor fusion of commodity hardware.
(Reiterer, H., & Deussen O., Ed.).Mensch und Computer. GestureRecognition.pdf (378.26 KB)
(2012). 3d hand gesture recognition based on sensor fusion of commodity hardware.
(Reiterer, H., & Deussen O., Ed.).Mensch und Computer. GestureRecognition.pdf (378.26 KB)
(2012). 3d hand gesture recognition based on sensor fusion of commodity hardware.
(Reiterer, H., & Deussen O., Ed.).Mensch und Computer. GestureRecognition.pdf (378.26 KB)
(2012). Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations.
2021 International Conference on Data Mining Workshops (ICDMW). 398–404.
(2021). Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations.
2021 International Conference on Data Mining Workshops (ICDMW). 398-404.
(2021). Analyzing environmental conditions and vital signs to increase healthy living.
Mobile Networks for Biometric Data Analysis.
(2016). Automatic classification of non-small cell lung cancer histologic sub-types by deep learning.
VIRCHOWS ARCHIV. 108-108.
(2018). Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 333–345. ANNPR_2018b.pdf (692.47 KB)
(2018). A compact high-performance frequency reference for space applications.
{29th Intl. Symposium on Space Technology and Science (ISTS 2013), Nagoya (Japan)}. Schuldt et al._2013_A Compact High-Performance Frequency Reference for Space Applications.pdf (369.85 KB)
(2013). Deep Learning on a Raspberry Pi for Real Time Face Recognition..
Eurographics (Posters). 11–12.
(2015). Deep transformation models: Tackling complex regression problems with neural network based transformation models.
Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021.
(2021). DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency.
2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning. AHM2022_DeepDoubt.pdf (238.98 KB)
(2022). DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency.
2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning. AHM2022_DeepDoubt.pdf (238.98 KB)
(2022). Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model.
International Conference on Information Fusion (FUSION). 1-8.
(2023). Geometric properties of the adaptice Delaunay tessellation.
(Dæhlen, M., Floater M.S., Lyche T., Merrien J.-L., Morken K., & Schumaker L.L., Ed.).Mathematical Methods of Curves and Surfaces, Tondsberg 2008. ADTProperties.pdf (335.14 KB)
(2010). Glassy and Polymeric Ionic Conductors: Statistical Modeling and Monte Carlo Simulations.
Superionic Conductor Physics. 1, 77–80.
(2007).